Data Science Intern

About SKOOLAGE

SKOOLAGE is a technology-driven learning and career-readiness platform that delivers practical training and internship programs across Artificial Intelligence, Machine Learning, Data Science, and emerging digital technologies. The organization focuses on real-world exposure, industry-relevant projects, and guided mentorship to prepare learners for successful careers in data-driven fields.

Role Overview: Data Science Intern

As a Data Science Intern at SKOOLAGE, you will work on end-to-end data science projects involving data preprocessing, exploratory analysis, machine learning model development, and predictive analytics. This internship is ideal for candidates aiming to strengthen their applied data science and AI skills through hands-on experience.

Key Responsibilities

• Perform data cleaning, preprocessing, feature engineering, and Exploratory Data Analysis (EDA)
• Build, train, test, and evaluate machine learning models using Scikit-learn
• Visualize data insights using tools such as Matplotlib, Seaborn, or Power BI
• Work with real-world datasets to develop predictive and analytical solutions
• Collaborate with mentors to improve model accuracy, performance, and scalability
• Document findings and present insights in a clear, structured manner

Eligibility & Requirements

• Working knowledge of Python, Pandas, NumPy, Scikit-learn, and Matplotlib
• Understanding of machine learning algorithms, data preprocessing techniques, and evaluation metrics
• Familiarity with SQL and Jupyter Notebooks
• Strong analytical thinking, curiosity, and problem-solving skills
• Prior coursework, certifications, or personal projects in data science or ML are an added advantage

What You Will Gain

• Paid stipend of up to ₹7,500 (Performance-Based)
• Certificate of Internship from SKOOLAGE
• Hands-on experience with real-world AI and machine learning projects
• Mentorship from experienced data science professionals
• Opportunity to build portfolio-ready data science projects
• Networking opportunities, career guidance, and placement support
• Potential full-time employment opportunity based on performance

Key skills/competency

• Data Preprocessing
• Machine Learning
• Predictive Analytics
• Python
• Pandas
• NumPy
• Scikit-learn
• Matplotlib
• SQL
• Exploratory Data Analysis (EDA)